For the past four years, COMPUTE, the annual conference organized by ACM Bangalore Chapter, has provided an excellent forum for computer science and information technology researchers from both academia and industry to present and share their work. These meetings have enabled and nurtured many symbiotic relationships between academia and industry and benefited the IT industry, entrepreneurs, investors and academia.
We are witnessing an explosive growth of digital content fuelled by the internet, and more recently, by the unprecedented proliferation of handheld devices and sensor networks. Keeping this in view, this year's conference has Information Management and Knowledge services as its main theme.
The aim of this conference is to bring together researchers, practitioners, technology market movers, and thought leaders, with a view to advance the state of the art, and the state of the practice in applied research. We believe that these advances will serve as a catalyst in leveraging ICT for the betterment of the society.
This year we received an enthusiastic response with 170 papers submitted by researchers in nine countries. Each paper submission was reviewed by at least three reviewers and the final selection was made by the Program Committee in extended discussions lasting two weeks. The efforts of the authors and reviewers have resulted in an excellent programme consisting of 16 full papers and 19 short papers.
A serial and parallel genetic based learning algorithm for Bayesian classifier to predict metabolic syndrome
This paper presents a serial and parallel genetic based learnable bayesian classifier for designing a prognostic model for metabolic syndrome. The objective of the classifier is to address the fundamental problem of finding the optimal weight in the ...
An agent-based architecture for a knowledge-work support system
Enhancement of technology-based system support for knowledge workers is an issue of great importance. The "Knowledge work Support System (KwSS)" framework analyzes this issue from a holistic perspective. KwSS proposes a set of design principles for ...
EcoGrid: a dynamically configurable object oriented simulation environment for economy-based grid scheduling algorithms
In this paper, an economy-based Grid simulator named as EcoGrid is presented. EcoGrid is developed as a test-bed for Grid scheduling algorithms that are based on dynamic load balancing. EcoGrid is dynamically configurable. It optimizes the cost of ...
A novel method for image retrieval using relevance feedback and unsupervised clustering
The standard approach to content-based image retrieval is currently concerned with bridging the semantic gap or the gap between the results produced by the use of low-level features and the human end-user expectations based on high-level semantics. In ...
Connected component in feature space to capture high level semantics in CBIR
An important problem in Content Based Image Retrieval (CBIR) systems is the gap between the human high-level semantics and the low-level machine features. In this paper, we develop a novel approach based on the intuition that a query along with the ...
Improving server power management in research and development data centers
Research data centers are often composed of thousands of diverse computer systems used for ongoing research, development, software regression and hardware compatibility testing. The usage patterns of many of these systems result in periodic non-use and ...
Tracking humans using novel optical flow algorithm for surveillance videos
We propose an approach to track moving objects (humans) using optical flow in surveillance videos in this paper. We combine object segmentation output with optical flow algorithm while tracking object. That is, the proposed algorithm uses the object ...
DEM registration using watershed algorithm and chain coding
DEM (Digital Elevation Model) is the model that gives elevation of each point of the earth surface in discrete form in a 3-D space. Image registration, implies registration of multi-temporal, multi-modal, multi-resolution, images of the same area. ...
Human authentication using finger knuckle print
Automated security is one of the major concerns of modern times. Secure and reliable authentication systems are in great demand. A biometric trait like Finger Knuckle Print (FKP) of a person is unique and secure. In this paper, we propose a human ...
GPGPU-based parallel computation: application to molecular dynamics problems
Parallel and distributed computing techniques have been applied to solve problems that have long running times. Molecular dynamics (MD) is used extensively in physics, chemistry, material sciences and biology to study statistical mechanical properties ...
Towards 'integrated' monitoring and management of DataCenters using complex event processing techniques
Diagnosing cause of system failure in data centers that house large interconnected complex computer systems is a herculean task. This is because different monitoring tools for network, storage, server, facilities and application provide useful ...
Operating cost aware scheduling model for distributed servers based on global power pricing policies
Reducing the power consumption and operational cost of IT servers is of great concern today. With the growth of the Internet and online services, the number of data centers is increasing day by day. Servers for many cloud applications and other large ...
Extraction of contextual information from medical case research report using WordNet
Relevant information within a document are usually embedded within a few sentences or passages (units). If any semantic tagging can be associated at the unit level within a document, the understanding of the information will be deeper and quicker saving ...
A non parametric shot boundary detection: an eigen gap based approach
Shot boundary detection is one of the challenging and crucial task in designing video archival and retrieval system. Even though a good number of works on shot boundary detection can be found in the literature, still there is a need of developing novel ...
Negotiation for resource allocation in IaaS cloud
Infrastructure As A Service (IaaS) cloud providers manage a large set of computing resources. Resources are provided to cloud consumers on demand in the form of virtual machines. Haizea, a resource lease manager, supports advance reservation, immediate, ...
Detection of web users' opinion from multimodal opinion elements
In this paper we present an approach to identify opinion of web users from opinionated texts and to classify web users opinion into positive or negative. Today web users express their opinion using multimodal opinion elements such as opinion phrases, ...
Similarity analysis of legal judgments
In this paper, we have made an effort to propose approaches to find similar legal judgements by extending the popular techniques used in information retrieval and search engines. Legal judgements are complex in nature and refer other judgements. We have ...
Current cloud scenario review and cost optimization by efficient resource provisioning
Cloud computing promises to deliver cost saving through the "pay as you use" paradigm. The focus is on adding computing resources when needed and releasing them when the need is serviced. Since cloud computing relies on providing computing power through ...
A bandwidth aware weight based DSR protocol for mobile ad hoc networks
Ad hoc network is a collection of nodes which do not require centralized administration and pre existing infrastructure. Each node can work like host as well as router. Energy efficient routing is the prime concern in mobile ad hoc networks. Various ...
FAutoREDwithRED: an algorithm to reduce queue oscillation in internet routers
Routers in Internet face the problem of congestion due to the increased use of real-time application in Internet. The use of real-time applications results in bursty traffic leading to congestion. Congested routers causes many problems such as large ...
Understanding honest feedbacks and opinions in academic environments
Student evaluation is an important component of any higher education. Online student feedbacks and opinions have become increasingly popular means of gathering reviews and judging the quality of various services offered by an institution. This paper ...
Using lower-bound similarity to enhance the performance of recommender systems
Recommender systems employ the popular K-nearest neighbor collaborative filtering (K-CF) methodology and its variations for recommending the products. In K-CF approach, recommendation for a given user is computed based on the ratings of K-nearest ...
Application of genetic algorithm and tabu search in software testing
This paper presents a technique for automatic test-data generation in software testing. The proposed approach is based on genetic and tabu search algorithms. It combines the strength of two metaheuristic techniques and produces efficient results. The ...
An efficient shape based feature for retrieval of healthcare literatures using CBIR technique
Recent advances in healthcare such as Evidence Based Medicine (EBM) and Clinical Decision Support Systems (CDSS) requires practitioners to frequently access archived historical healthcare literatures and images. As the majority of healthcare literatures ...
Real time cross layer design using particle swarm optimization
Cross Layer Optimization (CLO) strategies are currently being incorporated in network operating system for efficient utilization of resources to enable effective information management. In wireless adhoc networks real time optimizations need to be ...
Enterprise search through automatic synthesis of tag clouds
In a large organization, finding the right expert who can provide knowledge needed in a particular work context is critical to achieving higher levels of quality and productivity especially in the present scenario of a rapidly evolving technology and ...
Novel micro aerial vehicle video segmentation algorithm
A camera mounted on a MICro Aerial Vehicle (MICAV) provides an excellent means to monitor large areas of a scene. In this paper, we present a novel approach for detecting motion regions in video sequence observed by a moving MICAV. Foreground object ...
Dirichlet distribution with centroid model (DDCM) based summarization technique for web document classification
Web document summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the summarization objectives is that the sentences should cover the different events in the ...
PCA for heterogeneous data sets in a distributed data mining
Principal Component Analysis(PCA) is bastion for distributed data analysis. Scalability of the data is limited when centralized data mining is taken into account. Unsupervised classification like clustering and supervised classification like other ...
Species identification based on approximate matching
Genomic data mining and knowledge extraction is an important problem in bioinformatics. Existing methods for species identification are based on n-grams. In this paper, we propose a novel approach for identification of species. Given a database of ...
Index Terms
- Proceedings of the Fourth Annual ACM Bangalore Conference
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
Compute '17 | 70 | 19 | 27% |
COMPUTE '16 | 117 | 22 | 19% |
COMPUTE '14 | 110 | 21 | 19% |
Compute '13 | 96 | 24 | 25% |
COMPUTE '12 | 116 | 18 | 16% |
COMPUTE '09 | 113 | 10 | 9% |
Overall | 622 | 114 | 18% |